A few years ago, the seminal work of L.A. Gatys et al. [1]} in neural style-transfer gained the attention of the computer vision community and the industry, and received wide media coverage. Since then, several works extended their method, some of which can be found in [2]}. A theoretical interpretation of the way style and image texture is encoded in the channel-wise correlations (which can be considered as a Gram-Matrix) is given in
[3]}. The authors treat style-transfer as a domain adaptation problem, and prove the equivalence between trying to match the Gram-Matrices of feature maps and minimizing the Maximum Mean Discrepancy (MMD) with the second-order polynomial kernel.
